Dario Bertero

645 total citations
13 papers, 313 citations indexed

About

Dario Bertero is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Dario Bertero has authored 13 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Social Psychology. Recurrent topics in Dario Bertero's work include Sentiment Analysis and Opinion Mining (5 papers), Speech and dialogue systems (4 papers) and Topic Modeling (4 papers). Dario Bertero is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Speech and dialogue systems (4 papers) and Topic Modeling (4 papers). Dario Bertero collaborates with scholars based in Hong Kong. Dario Bertero's co-authors include Pascale Fung, Chien-Sheng Wu, Farhad Bin Siddique, Yan Wan, Yang Yang, Peng Xu, Andrea Madotto, Ho Yin Chan, Ruixi Lin and Ji Ho Park and has published in prestigious journals such as Language Resources and Evaluation and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Dario Bertero

13 papers receiving 289 citations

Peers

Dario Bertero
Dario Bertero
Citations per year, relative to Dario Bertero Dario Bertero (= 1×) peers Adria Mallol-Ragolta

Countries citing papers authored by Dario Bertero

Since Specialization
Citations

This map shows the geographic impact of Dario Bertero's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dario Bertero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dario Bertero more than expected).

Fields of papers citing papers by Dario Bertero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dario Bertero. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dario Bertero. The network helps show where Dario Bertero may publish in the future.

Co-authorship network of co-authors of Dario Bertero

This figure shows the co-authorship network connecting the top 25 collaborators of Dario Bertero. A scholar is included among the top collaborators of Dario Bertero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dario Bertero. Dario Bertero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Bertero, Dario, et al.. (2018). Investigating Audio, Video, and Text Fusion Methods for End-to-End Automatic Personality Prediction. 606–611. 57 indexed citations
2.
Fung, Pascale, Dario Bertero, Peng Xu, et al.. (2018). Empathetic Dialog Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6 indexed citations
3.
Park, Ji Ho, et al.. (2017). Emojive! Collecting Emotion Data from Speech and Facial Expression Using Mobile Game App.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 827–828. 1 indexed citations
4.
Bertero, Dario & Pascale Fung. (2017). A first look into a Convolutional Neural Network for speech emotion detection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5115–5119. 69 indexed citations
5.
Fung, Pascale, Farhad Bin Siddique, Ruixi Lin, et al.. (2016). Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 278–281. 12 indexed citations
6.
Bertero, Dario & Pascale Fung. (2016). Deep Learning of Audio and Language Features for Humor Prediction. Language Resources and Evaluation. 496–501. 23 indexed citations
7.
Bertero, Dario, et al.. (2016). Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1042–1047. 65 indexed citations
8.
Bertero, Dario, Farhad Bin Siddique, & Pascale Fung. (2016). Towards a corpus of speech emotion for interactive dialog systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 52. 241–246. 3 indexed citations
9.
Bertero, Dario & Pascale Fung. (2016). Multimodal deep neural nets for detecting humor in TV sitcoms. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 383–390. 3 indexed citations
10.
Bertero, Dario & Pascale Fung. (2016). Predicting humor response in dialogues from TV sitcoms. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 6. 5780–5784. 14 indexed citations
11.
Bertero, Dario & Pascale Fung. (2016). A Long Short-Term Memory Framework for Predicting Humor in Dialogues. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 52 indexed citations
12.
Bertero, Dario, et al.. (2015). A comparison between a DNN and a CRF disfluency detection and reconstruction system. 844–848. 2 indexed citations
13.
Bertero, Dario & Pascale Fung. (2015). HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity Features. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 23–28. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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